6 papers
Adaptive Testing for Segmenting Watermarked Texts From Language Models
Xingchi Li, Xiaochi Liu, Guanxun Li
The rapid adoption of large language models (LLMs), such as GPT-4 and Claude 3.5, underscores the need to distinguish LLM-generated text from human-written content to mitigate the…
Segmenting Watermarked Texts From Language Models
Xingchi Li, Guanxun Li, Xianyang Zhang
Watermarking is a technique that involves embedding nearly unnoticeable statistical signals within generated content to help trace its source. This work focuses on a scenario where…
A General Framework for Multiple Testing via E-value Aggregation and Data-Dependent Weighting
Guanxun Li, Xianyang Zhang
Motivated by recent findings in Li and Zhang (2025), which established an equivalence between certain p-value-based multiple testing procedures and the e-Benjamini-Hochberg procedu…
Importance is Important: Generalized Markov Chain Importance Sampling Methods
Guanxun Li, Aaron Smith, Quan Zhou
We show that for any multiple-try Metropolis algorithm, one can always accept the proposal and evaluate the importance weight that is needed to correct for the bias without extra c…
Fast Replica Exchange Stochastic Gradient Langevin Dynamics
Guanxun Li, Guang Lin, Zecheng Zhang +1
Application of the replica exchange (i.e., parallel tempering) technique to Langevin Monte Carlo algorithms, especially stochastic gradient Langevin dynamics (SGLD), has scored gre…
Bayesian Multi-task Variable Selection with an Application to Differential DAG Analysis
Guanxun Li, Quan Zhou
In this paper, we study the Bayesian multi-task variable selection problem, where the goal is to select activated variables for multiple related data sets simultaneously. Our propo…